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| Criterion |  Operations ABC Analysis |  Product Discovery Kano Model |  Product Discovery Opportunity Solution Tree |
|---|---|---|---|
Purposedifferent | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | When features need to be distinguished by their effect on satisfaction, it makes expectations and surprises comparable. It separates basic needs, performance contribution, and delight. | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. |
Complexitydifferent | Low | Medium | Medium |
Timedifferent | 30-60 min | 1-2 Tage | 1-2 h Setup, laufend |
Participantsdifferent | 1-5 | 10-50 | 2-6 |
Formatdifferent | Async | Workshop + async | Workshop + async |
Outputdifferent | ABC Classification, Focus Rules, Control List | Kano Matrix, Feature Classes, Priority Themes | Opportunity Solution Tree, Experiment Backlog, Learning Log |
Tagsno overlap | PrioritizationOperationsPortfolio | SatisfactionPrioritizationCustomer | DiscoveryOutcomesExperimentsOpportunity |
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